Analyst Master Data

About AkzoNobel

Since 1792, we've been supplying the innovative paints and coatings that help to color people's lives and protect what matters most. Our world class portfolio of brands - including Dulux, International, Sikkens and Interpon - is trusted by customers around the globe. We're active in more than 150 countries and use our expertise to sustain and enhance the fabric of everyday life. Because we believe every surface is an opportunity. It's what you'd expect from a pioneering and long-established paints company that's dedicated to providing sustainable solutions and preserving the best of what we have today - while creating an even better tomorrow. Let's paint the future together.

For more information please visit www.akzonobel.com

2024 Akzo Nobel N.V. All rights reserved.

Job Description :

1.Purpose/Key Objectives of the Job:

The innovative and effective deployment of data and analytics is key to the success of companies today. AkzoNobel is no exception as we seek to embed the improved understanding of data across the company. Identifying and implementing opportunities to optimize the use of data within our R&D, Manufacturing, Supply Chain, Marketing and Sales, Finance, HR and Sourcing Functions have been services delivered from our Global MDM over the last few years. This demands the skills of someone who can dedicate his full attention to the specific needs of these process/Functions. Someone who can analyze, process data and help our CoE organization to improve the data quality in our ERPs. This is why the GBS Master Data Services require a Master Data Experts. The MDS Master Data Experts will support the team with MDM Cleansing, and other data quality improvement initiatives.

2.Responsibilities:

• Responsible for or support the activities done by the CoE for the relevant data domain within all capabilities provided by the CoE (i.e. MDM Foundation, Projects and Analytics & Curation)

• Monitoring of (master) data quality

• Responsible for data exports from the system

• Responsible for data analysis, data cleansing

• Validation of big sets of data to identify patterns, quality gaps in order to improve it

• Support Data Domain experts, leads with projects related to data quality improvements

• Building KPIs and dashboards

• Ability to utilize metrics to identify opportunities for service improvement

• Excellent analytical and problem solving skills

• Customer service mind-set with excellent customer service skills

• Capable of managing assignment in a dynamic environment with ever changing priorities

• International mind-set - sensible for cultural differences

3.Job Requirements:

Essential educational qualifications, relevant experience and requested skills.

• Post-Graduation in Business Administration, Accounting, Finance, Economics, IT or equivalent work experience

• Minimum 3 - 5 years' overall experience with 2-3 years' experience in MDM related function

• Experience in Data quality improvement related projects

• Experience in implementation of MDM processes

• Experience in interfacing with business operational customers

• Experience in MDM process improvement and root cause analysis

• Experience in complex business environments

• Experience with Alteryx and Power BI is a plus

• Understanding of external factors influencing master data management such as competitors, regulatory requirements, best in class practices, etc.

• Leverages best in class examples, key expert / key stakeholder input to design the appropriate MDM foundation

• Leverages business understanding and its requirements in the design of the MDM project agreed end states/outcomes

• Keeps deadlines and produces high quality output

• Fosters a constructive dialogue with functions and key stakeholders

• Strong communicator and change agent

• Strong English knowledge

• Project management experience preferred

• Tools: SAP knowledge, Excel/Macros/VBA, Access, Alteryx, Power BI , SQL knowledge on DataBricks ,Azure Platform with PySpark, Python is a Plus.

At AkzoNobel we are highly committed to ensuring an inclusive and respectful workplace where all employees can be their best self. We strive to embrace diversity in a context of tolerance. Our talent acquisition process plays an integral part in this journey, as setting the foundations for a diverse environment. For this reason we train and educate on the implications of our Unconscious Bias in order for our TA and hiring managers to be mindful of them and take corrective actions when applicable. In our organization, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability.